The performance of an agricultural robot has been evaluated through si
mulation to determine design parameters for a robotic melon harvester.
Animated, visual simulation provided a powerful tool to initiate the
evaluation of alternative designs. To quantify the many, closely-relat
ed design parameters, numerical simulation tools were developed and ap
plied. Simulations using measured cantaloupe locations revealed the ef
fect of design parameters (configuration, number of arms, and actuator
speeds) on the average cycle time. Simulation results predicted that
a Cartesian robot would perform faster than a cylindrical robot for th
e melon harvesting task. Activating two arms in tandem was the fastest
configuration evaluated. Additional sets of melon locations were stoc
hastically generated from distributions of the field data to determine
performance for planting distances between 25 and 125 cm. The fastest
cycle time was achieved for an experimental cultural practice that co
nsisted of one plant on each half row in an alternating sequence with
125 cm planting distance. The performance of the robotic melon harvest
er was found to be highly dependent on the picking time, actuator spee
ds and planting distance.